Virtual reality (VR) learning environments are highly visual and need instructional aid to help
the learner. Presenting too much visual information can impair selection and organization …

Visualizing 3D trajectories to extract insights about their similarities and spatial configuration
is a critical task in several domains. Air traffic controllers for example deal with large …

The presence of fully-occluded targets is common within virtual environments, ranging from
a virtual object located behind a wall to a datapoint of interest hidden in a complex …

Object selection has been explored extensively in the VR research literature. However, the
research is typically conducted in constrained experimental setups. It remains unclear …

Various interaction techniques have been developed for interactive 3D environments. This
paper presents an up‐to‐date and comprehensive review of the state of the art of non …

Scanning everyday objects with depth sensors is the state-of-the-art approach to generating
point clouds for realistic 3D representations. However, the resulting point cloud data suffers …

3D selection in dense VR environments (eg, point clouds) is extremely challenging due to
occlusion and imprecise mid-air input modalities (eg, 3D controllers and hand gestures). In …

We present a family of three interactive Context-Aware Selection Techniques (CAST) for the
analysis of large 3D particle datasets. For these datasets, spatial selection is an essential …

In interactive systems, the ability to select virtual objects is essential. In immersive virtual
environments, object selection is usually done at arm's length in mid-air by directly …

Three-dimensional point clouds are generated by devices such as laser scanners and depth
cameras, but their output is a set of unstructured, unlabeled points. Many scenarios require …